摘要
针对热传导反问题的不适定性和非线性,为了改进热传导反问题的求解方法,考虑了材料非均质的影响,建立了稳态热传导有限元正演模型。根据测量温度信息,将热物性参数和边界条件的单一和组合识别问题归结为一个优化问题,进而利用基于网格划分策略的蚁群算法进行求解。探讨了参数取值范围和数据噪音对识别结果的影响,数值验证取得了令人满意的结果。
Aiming at the ill-posedness and nonlinearity of the IHCP,in order to improve the method of solving inverse heat conduction problem in steady state,FE model,taking account of inhomogeneity,is developed for the solution to direct heat conduction problems in steady state.According to the information of measured temperature, the single and combined identifications of thermal parameters and boundary conditions are simply formulated as an optimization problem,and Gridding Partition based Ant colony algorithm is employed to solve inverse heat conduction problems.The effects of data noise and value ranges on solutions are given.Numerical validation exhibits good results.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2007年第S2期80-82,共3页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金重点资助项目(504334020)
高等学校博士学科点专项科研基金(20040147003)
教育厅重大基础研究资助项目(202182055)
关键词
有限元
热传导
反问题
蚁群算法
finite element
heat conduction
inverse problem
Ant colony algorithm
